Automatic Speech Recognition
Transformers
PyTorch
JAX
German
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use marcel/wav2vec2-large-xlsr-53-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcel/wav2vec2-large-xlsr-53-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="marcel/wav2vec2-large-xlsr-53-german")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("marcel/wav2vec2-large-xlsr-53-german") model = AutoModelForCTC.from_pretrained("marcel/wav2vec2-large-xlsr-53-german", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdbc2709992e90d1f9e993b5072a9540b8b4905868a4fc139d21b363d876ba96
- Size of remote file:
- 2.35 kB
- SHA256:
- cbbfaddb83a20b47d109496685d3d3508ad2ab0ff98bff723130d9701a5981e9
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